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Financement de l’UE (5 999 548 €) : CCAM basé sur l’IA : digne de confiance, explicable et responsable Hor 04/09/2022 Programme de recherche et d'innovation de l'UE « Horizon »
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CCAM basé sur l’IA : digne de confiance, explicable et responsable
Connected and Cooperative Automotive Mobility (CCAM) solutions have emerged thanks to novel Artificial Intelligence (AI) which can be trained with huge amounts of data to produce driving functions with better-than-human performance under certain conditions. The race on AI keeps on building HW/SW frameworks to manage and process even larger real and synthetic datasets to train increasingly accurate AI models. However, AI remains largely unexplored with respect to explainability (interpretability of model functioning), privacy preservation (exposure of sensitive data), ethics (bias and wanted/unwanted behaviour), and accountability (responsibilities of AI outputs). These features will establish the basis of trustworthy AI, as a novel paradigm to fully understand and trust AI in operation, while using it at its full capabilities for the benefit of society. AITHENA will contribute to build Explainable AI (XAI) in CCAM development and testing frameworks, researching three main AI pillars: data (real/synthetic data management), models (data fusion, hybrid AI approaches), and testing (physical/virtual XiL set-ups with scalable MLOps). A human-centric methodology will be created to derive trustworthy AI dimensions from user identified group needs in CCAM applications. AITHENA will innovate proposing a set of Key Performance Indicators (KPI) on XAI, and an analysis to explore trade-offs between these dimensions. Demonstrators will show the AITHENA methodology in four critical use cases: perception (what does the AI perceive, and why), situational awareness (what is the AI understanding about the current driving environment, including the driver state), decision (why a certain decision is taken), and traffic management (how transport-level applications interoperate with AI-enabled systems operating at vehicle-level). Created data and tools will be made available via European data sharing initiatives (OpenData and OpenTools) to foster research on trustworthy AI for CCAM.
| Union Internationale DES Transports Routiers (IRU) | ? |
| Aumovio France | 380 250 € |
| Bergische Universitaet Wuppertal | 349 695 € |
| Federation Internationale de l'Automobile | 299 250 € |
| Fundacion Centro de Tecnologias de Interaccion Visual y Comunicaciones Vicomtech | 525 650 € |
| Idiada Automotive Technology SA | 401 250 € |
| Infineon Technologies AG | 413 610 € |
| MAP Traffic Management B.V. | 282 500 € |
| Nederlandse Organisatie Voor Toegepast Natuurwetenschappelijk Onderzoek TNO | 204 893 € |
| Rheinisch-Westfaelische Technische Hochschule Aachen | 497 500 € |
| Rupprecht Consult-Forschung & Beratung GmbH | 310 625 € |
| Siemens Industry Software N.V. | 250 450 € |
| Siemens Industry Software Netherlands B.V. | 250 375 € |
| Technische Universiteit Eindhoven | 492 875 € |
| TrustMotion Austria GmbH | 447 188 € |
| Valeo Schalter UND Sensoren GmbH | 443 438 € |
| Virtual Vehicle Research GmbH | 450 000 € |
https://cordis.europa.eu/project/id/101076754
Cette annonce se réfère à une date antérieure et ne reflète pas nécessairement l’état actuel. L’état actuel est présenté à la page suivante : Union Internationale des Transports Routiers (IRU), Genève, Suisse.
